机器学习基础
Machine Learning Basics
从概念层面了解机器学习是如何运作的：给计算机看很多例子，它会找出规律，然后对新事物做出预测；使用Teachable Machine或类似工具进行动手体验。
How machine learning works at a conceptual level: show the computer many examples, it finds patterns, then it makes predictions about new things; hands-on experience with Teachable Machine or similar tool
学习证据 / Evidence
- 用简单的话描述机器学习的三个步骤：举例子、找规律、做预测。
- 使用Teachable Machine这类工具训练一个简单模型，并描述发生了什么。
- 解释为什么展示更多、更好的例子会让模型更准确。
- Describe the three steps of machine learning in simple terms (give examples, find patterns, make predictions)
- Train a simple model using a tool like Teachable Machine and describe what happened
- Explain why showing more and better examples makes the model more accurate
评估问题 / Assessment
{{name}}能描述一下你是怎么教计算机识别某样东西的吗——通过给它看大量例子，直到它发现规律？
Could {{name}} describe how you teach a computer to recognise something — by showing it lots of examples until it spots the pattern?